Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vietvu/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietvu/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vietvu/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vietvu/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("vietvu/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 972f93897686c7d0987e13f090f0fece58233638549cea00c04830f14fab102f
- Size of remote file:
- 5.3 kB
- SHA256:
- 1d2c7f738854c589867f27d197cd4a5cf0bb5efc8bd88169bcadf8a6650effd8
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